Silke Appenzeller

105 total papers · 2.5k total citations
56 papers, 1.3k citations indexed

About

Silke Appenzeller is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Silke Appenzeller has authored 56 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 15 papers in Genetics and 15 papers in Cancer Research. Recurrent topics in Silke Appenzeller's work include Adrenal and Paraganglionic Tumors (12 papers), Cancer, Hypoxia, and Metabolism (11 papers) and Glioma Diagnosis and Treatment (7 papers). Silke Appenzeller is often cited by papers focused on Adrenal and Paraganglionic Tumors (12 papers), Cancer, Hypoxia, and Metabolism (11 papers) and Glioma Diagnosis and Treatment (7 papers). Silke Appenzeller collaborates with scholars based in Germany, United Kingdom and Italy. Silke Appenzeller's co-authors include Gregor Kuhlenbäumer, Michael Briese, Mehri Moradi, Michael Sendtner, Jörg Vogel, Antoine‐Emmanuel Saliba, Lei Li, Apoorva Baluapuri, Alexander J. Westermann and Leon N. Schulte and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The Journal of Cell Biology.

In The Last Decade

Silke Appenzeller

51 papers receiving 1.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Silke Appenzeller 548 251 224 196 193 56 1.3k
Y. Sawamura 528 1.0× 314 1.3× 227 1.0× 88 0.4× 215 1.1× 65 1.6k
Shohei Kohno 566 1.0× 112 0.4× 291 1.3× 182 0.9× 143 0.7× 76 1.5k
John Provias 437 0.8× 373 1.5× 276 1.2× 95 0.5× 169 0.9× 79 1.7k
Paul N. McMillan 668 1.2× 145 0.6× 69 0.3× 112 0.6× 221 1.1× 41 1.6k
María Collantes 449 0.8× 241 1.0× 187 0.8× 92 0.5× 249 1.3× 67 1.4k
Si‐Tse Jiang 977 1.8× 198 0.8× 160 0.7× 94 0.5× 139 0.7× 55 1.8k
Meihui Luo 615 1.1× 238 0.9× 148 0.7× 107 0.5× 183 0.9× 38 1.5k
Indrani Datta 542 1.0× 112 0.4× 232 1.0× 161 0.8× 137 0.7× 85 1.3k
Hailong Liu 650 1.2× 97 0.4× 152 0.7× 224 1.1× 117 0.6× 91 1.5k
Yoichi Ishida 692 1.3× 247 1.0× 75 0.3× 119 0.6× 96 0.5× 68 1.5k

Countries citing papers authored by Silke Appenzeller

Since Specialization
Citations

This map shows the geographic impact of Silke Appenzeller's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Silke Appenzeller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silke Appenzeller more than expected).

Fields of papers citing papers by Silke Appenzeller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Silke Appenzeller. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Silke Appenzeller. The network helps show where Silke Appenzeller may publish in the future.

Co-authorship network of co-authors of Silke Appenzeller

This figure shows the co-authorship network connecting the top 25 collaborators of Silke Appenzeller. A scholar is included among the top collaborators of Silke Appenzeller based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Silke Appenzeller. Silke Appenzeller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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2026